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Artykuły w czasopismach na temat "VDrama"
Rayego-Mateos, Sandra, Jose Luis Morgado-Pascual, José Manuel Valdivielso, Ana Belén Sanz, Enrique Bosch-Panadero, Raúl R. Rodrigues-Díez, Jesús Egido, Alberto Ortiz, Emilio González-Parra i Marta Ruiz-Ortega. "TRAF3 Modulation: Novel Mechanism for the Anti-inflammatory Effects of the Vitamin D Receptor Agonist Paricalcitol in Renal Disease". Journal of the American Society of Nephrology 31, nr 9 (6.07.2020): 2026–42. http://dx.doi.org/10.1681/asn.2019111206.
Pełny tekst źródłaBanks, Mindy, i Stuart M. Sprague. "Vitamin D and Peritoneal Dialysis". Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis 28, nr 2_suppl (marzec 2008): 33–37. http://dx.doi.org/10.1177/089686080802802s06.
Pełny tekst źródłaLim, Kenneth, Guerman Molostvov, Maria Lubczanska, Simon Fletcher, Rosemary Bland, Thomas F. Hiemstra i Daniel Zehnder. "Impaired arterial vitamin D signaling occurs in the development of vascular calcification". PLOS ONE 15, nr 11 (19.11.2020): e0241976. http://dx.doi.org/10.1371/journal.pone.0241976.
Pełny tekst źródłaMorgado-Pascual, Jose L., Sandra Rayego-Mateos, Jose M. Valdivielso, Alberto Ortiz, Jesus Egido i Marta Ruiz-Ortega. "Paricalcitol Inhibits Aldosterone-Induced Proinflammatory Factors by Modulating Epidermal Growth Factor Receptor Pathway in Cultured Tubular Epithelial Cells". BioMed Research International 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/783538.
Pełny tekst źródłaSprague, Stuart M., Adrian C. Covic, Jürgen Floege, Markus Ketteler, Jaco Botha, Edward M. Chong i Anjay Rastogi. "Pharmacodynamic Effects of Sucroferric Oxyhydroxide and Sevelamer Carbonate on Vitamin D Receptor Agonist Bioactivity in Dialysis Patients". American Journal of Nephrology 44, nr 2 (2016): 104–12. http://dx.doi.org/10.1159/000447600.
Pełny tekst źródłaCozzolino, Mario, Florjan Mehmeti, Paola Ciceri, Elisa Volpi, Andrea Stucchi, Irene Brenna i Daniele Cusi. "The Effect of Paricalcitol on Vascular Calcification and Cardiovascular Disease in Uremia: Beyond PTH Control". International Journal of Nephrology 2011 (2011): 1–5. http://dx.doi.org/10.4061/2011/269060.
Pełny tekst źródłaWu-Wong, J. Ruth, Yung-wu Chen i Jerry L. Wessale. "Vitamin D receptor agonist VS-105 improves cardiac function in the presence of enalapril in 5/6 nephrectomized rats". American Journal of Physiology-Renal Physiology 308, nr 4 (15.02.2015): F309—F319. http://dx.doi.org/10.1152/ajprenal.00129.2014.
Pełny tekst źródłaCianciolo, Giuseppe, Andrea Galassi, Irene Capelli, Maria Laura Angelini, Gaetano La Manna i Mario Cozzolino. "Vitamin D in Kidney Transplant Recipients: Mechanisms and Therapy". American Journal of Nephrology 43, nr 6 (2016): 397–407. http://dx.doi.org/10.1159/000446863.
Pełny tekst źródłaInaguma, Daijo, Yoshitaka Tatematsu, Naoki Okamoto, Soshiro Ogata, Hideki Kawai, Eiichi Watanabe, Yukio Yuzawa, Midori Hasegawa i Naotake Tsuboi. "Multicentre, open-label, randomised, controlled trial to compare early intervention with calcimimetics and conventional therapy in preventing coronary artery calcification in patients with secondary hyperparathyroidism (UPCOMING): a study protocol". BMJ Open 14, nr 1 (styczeń 2024): e076962. http://dx.doi.org/10.1136/bmjopen-2023-076962.
Pełny tekst źródłaTai, Sheng-Lun, Yu-Chieng Liou, Juanzhen Sun, Shao-Fan Chang i Min-Chao Kuo. "Precipitation Forecasting Using Doppler Radar Data, a Cloud Model with Adjoint, and the Weather Research and Forecasting Model: Real Case Studies during SoWMEX in Taiwan". Weather and Forecasting 26, nr 6 (1.12.2011): 975–92. http://dx.doi.org/10.1175/waf-d-11-00019.1.
Pełny tekst źródłaRozprawy doktorskie na temat "VDrama"
Chenane, Chabane. "Analyse et reconstruction de la dynamique des véhicules motorisés (VDRM) et détection de situations limites de roulis". Thesis, Evry-Val d'Essonne, 2014. http://www.theses.fr/2014EVRY0037/document.
Pełny tekst źródłaThe world of Powered Two Wheeled (PTW) vehicles has changed considerably in quality and performance. These vehicles have taken an important place in our live, whether for transportation or leisure, which contributed to the increasing and diversity of their park. However, the safety of users has become a concern of road institutions and research organizations, given the increasing number of accidents and vulnerability at which they are faced. Our research fall within the thematic study of modeling, observation and dynamic limit analysis of the PTW vehicles. The main objective is to design tools needed to establish safety systems, of preventive kind, dedicated to enhance driver safety and improve his conduct. The main tool is a good device simulation, given the constraints encountered in the practical realization of tests, such as driver safety, cost, etc. For this, a synthesis of three non-linear dynamic models of one body, two bodies and five bodies, is proposed. A risk function relative to the maximum roll angle of the vehicle is established. Its variation according to the inertial and geometric parameters of the whole vehicle and driver, their dynamics and infrastructure, has been subject of extensive study. The difficulty of implementing many sensors has led us to develop methods to reconstruct the important dynamics for the implementation of safety systems. To do this, we reconstructed quantities contributing to the lateral dynamics by applying the Proportional Two Integral (P2I) observer. The last part of the manuscript is devoted to the work carried out about the instrumentationof the Scooter prototype, available at our laboratory. The analysis of the recorded data on the test track and the validation of the observers developed are detailed
Yang, Ching-yu, i 楊靜伃. "Improving short-term QPF by using a 4DVAR radar data assimilation system (VDRAS) and WRF". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/06282880686618820363.
Pełny tekst źródła國立中央大學
大氣物理研究所
100
The NCAR Variational Doppler Radar Analysis System (VDRAS) is a system which uses the 4DVAR technique to assimilate the radar reflectivity and radial wind observations, and is capable of providing the three-dimensional kinematic and thermodynamic fields within a weather system. Since VDRAS is formulated on a Cartesian coordinate, its application to Taiwan where the topography is complicated is expected to be limited. Previous studies in which the analysis fields from VDRAS were merged with WRF showed encouraging results in improving the model Quantitative Precipitation Forecast (QPF). The purpose of this study is to test the sensitivity of the cycling configuration for VDRAS, and find a robust way of combining VDRAS and WRF. A real case of Mei-Yu front occurred on 14 June 2008 during Southwest Monsoon Experiment (SoWMEX) IOP8 is selected. In the first set of experiment, three tests are designed to examine the sensitivity of the analysis and forecast with respect to VDRAS cycling configuration containing 1-3 cycles in assimilation processes, respectively. The results of the principal kinematic and thermodynamic features reveal that VDRAS with two cycles is better than the other designs. In the second set of experiment, the VDRAS analysis fields are merged with WRF model. Assuming that the synoptic scale influence can be neglected within a period of three to four hours, it is found that using a single domain instead of nested domains can effectively remove the noises generated along the domain boundaries. Two different ways are used to merge VDRAS with WRF, and they are “direct replacement” and “WRF 3DVAR”, respectively. It is found that when the VDRAS analysis fields generated by 1-3 cycles are directly merged with WRF model, the two-cycle VDRAS analysis field produces the best results. The impact of using VDRAS outputs to improve the QPF can last for about four hours. The accuracy of the predicted 4-hour accumulated rainfall after merging VDRAS and WRF turns out to be significantly higher than that generated by using VDRAS or WRF alone. This can be attributed to the assimilation of meso- and convective scale information, embedded in the radar data into the VDRAS, and to a better treatment of the topographic effects by the WRF model simulation. However, the experiments of using “WRF 3DVAR” to merge VDRAS analysis fields with WRF are not successful, and this method needs a longer time to spin up. This research suggests an effective way of using VDRAS to forecast rainfall under Taiwan’s mountainous situation.
Kuo, Min-Chao, i 郭閔超. "Improving short-range QPF in Taiwan by VDRAS and WRF using data from multiple weather radars". Thesis, 2011. http://ndltd.ncl.edu.tw/handle/30100864927063636693.
Pełny tekst źródła國立中央大學
大氣物理研究所
99
In this research, the Variational Doppler Radar Analysis System (VDRAS) is used to assimilate radar data. The VDRAS has the capability to conduct forecast, but only over flat surface. Thus, it is attempted to merge the VDRAS analysis field with WRF, so that one can use the latter to resolve the terrain. In this study, we will use RCCG, RCKT, RCHL and S-POL radars to perform a series of assimilation experiments with different strategies. A real case of a shallow surface front occurred from 0500UTC to 0900UTC on 02 June 2008 during Southwest Monsoon Experiment IOP4 is selected. Experimental results reveal that assimilating more radar data leads to a better performance of the rainfall forecast. It is also shown that assimilating radar data is better than using WRF alone. Further improvements can be achieved when WRF is merged with VDRAS analysis field twice. By assimilating radar data on 0500~0600UTC, when convective system is still over the ocean, results in a more accurate forecast of the rainfall than performing the radar data assimilation on 0700~0800UTC, when convective system already reaches the complex terrain. This difference can be explained in the following. Since a large portion of the convection system is over the terrain on 0700UTC~0800UTC, therefore even with radar data assimilation, the VDRAS is not able to capture the major features of the convective structure due to its inability to resolve the complex terrain. The above-mentioned experimental results can be used as a guideline for applying VDRAS in Taiwan or other places with similar geographic environment and observational limitations.
Chang, Shao-Fan, i 張少凡. "The influence of assimilation strategies and ice-phase microphysics on the application of a four-dimensional Variational Doppler Radar Analysis System (VDRAS) for quantitative precipitation forecasts". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/06292548093300322850.
Pełny tekst źródła國立中央大學
大氣物理研究所
101
A series of observation system simulation experiments (OSSEs) and real case study are conducted to investigate the application of the Doppler radar data assimilation technique for numerical model quantitative precipitation forecasts (QPF). A four-dimensional Variational Doppler Radar Analysis System (VDRAS) is adopted for all experiments. The first set of OSSEs demonstrates that when the background field contains the imperfect information predicted from a mesoscale model, the incorrect convective-scale perturbations in the background can result in spurious scattered precipitation. However, a smoothing procedure can be utilized to remove the fine structures from the primitive model output to avoid this over-prediction. Results from a second set of OSSEs indicate that the lack of low-elevation data due to beam blockage could significantly alter the retrieved low-level thermal and dynamical structures when different number of data assimilation cycles is applied. These impacts could lower the rainfall forecast capability of the model. The third set of OSSEs shows that, when the rainwater is assimilated over a long assimilation window, the nonlinearity embedded in the microphysical process could lead the minimization algorithm to a wrong direction, causing a further degradation of the rainfall prediction. However, using multiple short assimilation cycles produces better minimization and forecast results than those obtained with a single long cycle. A real case experiment based on data collected during Intensive Operation Period (IOP) #8 of the 2008 Southwest Monsoon Experiment (SoWMEX) is conducted to provide a verification of the conclusions obtained from OSSEs under a realistic framework. The microphysics scheme of VDRAS is extended from warm rain process to cold rain process. It is found that the retrieved water content would be underestimated if all radar reflectivities are assumed to be in the form of warm rain. This underestimation can be improved when the cold rain process is implemented into VDRAS. The VDRAS with ice physics can provide better rainfall forecast.
Tai, Sheng-Lun, i 戴聖倫. "The Development and Application of a Terrain-Resolving Scheme for the Forward Model and Its Adjoint in the Four-Dimensional Variational Doppler Radar Analysis System (VDRAS)". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/9uz4mj.
Pełny tekst źródła國立中央大學
大氣科學學系
105
The four-dimensional Variational Doppler Radar Analysis System (VDRAS) developed at the National Center for Atmospheric Research (NCAR) is significantly improved by implementing a terrain-resolving scheme to its forward model and adjoint based on the Ghost Cell Immersed Boundary Method (GCIBM), which allows the topographic effects to be considered without the necessity to re-build the model on a terrain-following coordinate system. The new system, called IBM_VDRAS, is able to perform forward forecast and backward adjointmodel integration over non-flat lower boundaries, ranging from mountains with smooth slopes to buildings with sharp surfaces. To evaluate the performance of the forward model over complex terrain, idealized numerical experiments of a two-dimensional linear mountain wave and three-dimensional lee side vortices are first conducted, followed by a comparison with a simulation by the Weather Research and Forecasting (WRF) model. In addition, the building-scale simulation demonstrates its flexibility in resolving terrain as well. An Observation Simulation System Experiment (OSSE) is also conducted with the assimilation of simulated radar data to examine the ability of IBM_VDRAS in analyzing orographically forced moist convection. It is shown that the IBM_VDRAS can retrieve terrain-influenced three-dimensional meteorological fields including winds, thermodynamic and microphysical parameters with reasonable accuracy. This new system is utilized to study precipitation process in a real case of pre-frontal rainbands passed over southern Taiwan on June 14 of 2008, collected by IOP 8 of the 2008 Southwest Monsoon Experiment (SoWMEX). Prior to physical discussion, the multivariate analysis is verified by various types of measurements including mesonet stations, wind profiler, radiosonde and Doppler radar radial velocity. It shows that IBM_VDRAS has robust performance in retrieving the meteorological states. Further examinations on the frequent updated analyses demonstrate the importance of quasi-steady convergence line near southwestern coast of Taiwan. The major mechanisms leading to the formation and maintenance of this convergence line is decomposed into pure topographic, pure evaporation cooling, nonlinear interactive effect, and is further explored through a series of sensitivity experiments. Pure topographic effect is found to be the dominant factor in modulating the convection development. However, the contributions from nonlinear interaction and pure evaporation, although with weaker magnitudes, cannot be neglected. A schematic diagram is formulated to explain how a local circulation system is built and maintained to support the above mentioned quasi-stationary coastal convergence line, which is responsible for a long-lasting severe precipitation event. It is clear that the interaction among mountain blockage, evaporation cooling effect, and the development of an enhanced widespread high pressure zone over the southwest plain area, are the key factors to modulate the evolution of the convective system.
Książki na temat "VDrama"
d1938-, Reynolds Henry. The chant of Jimmie Blacksmith. Strawberry Hills, N.S.W: Currency Press, 2008.
Znajdź pełny tekst źródłaCzęści książek na temat "VDrama"
Balsom, Erika. "Transmission, from the Movie-Drome to Vdrome". W After Uniqueness, 219–36. Columbia University Press, 2017. http://dx.doi.org/10.7312/columbia/9780231176934.003.0009.
Pełny tekst źródła"8. Transmission, from the Movie-Drome to Vdrome". W After Uniqueness, 219–36. Columbia University Press, 2017. http://dx.doi.org/10.7312/bals17692-010.
Pełny tekst źródłaStreszczenia konferencji na temat "VDrama"
Dai, Jie, Lei Han, Wei Zhang, ChangJiang Zhang i Hanlei Feng. "A deep belief network approach using VDRAS data for nowcasting". W Ninth International Conference on Graphic and Image Processing, redaktorzy Hui Yu i Junyu Dong. SPIE, 2018. http://dx.doi.org/10.1117/12.2303475.
Pełny tekst źródłaRoberts, Justin, James MacKrell, D. B. Piyarathna, Gary Krishnan, Cristian Coarfa, David Rowley i Nancy L. Weigel. "Abstract 1817: A novel non-secosteroidal VDR agonist, VDRM2, inhibits prostate tumor growth". W Proceedings: AACR 107th Annual Meeting 2016; April 16-20, 2016; New Orleans, LA. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1538-7445.am2016-1817.
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